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职位Amazon

Support Engineer III, Measurements & Data Science

Amazon

Support Engineer III, Measurements & Data Science

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Job Description:

Amazon has earned a reputation for excellence in the world by leading innovative technologies. Our humongous scale helps engineers experience the thrill of working on a system of humongous scale. We are looking for you if you are a highly determined/motivated engineer who loves challenges and commits to improvement every day. Our Support Engineers get exposure to disruptive technologies applied to our software solutions. They collaborate with software development teams to raise engineering and operational excellence to define the future.

The MADS (Measurements Ad Tech & Data Science) Billing Support team is looking for a talented Support Engineer to join our mission-critical operations supporting global advertising billing applications. You will be at the forefront of ensuring seamless billing experiences for advertisers worldwide, working with cutting-edge distributed systems that process multi-million transactions worth billions of dollars daily.

As part of the Billing Support team supporting Sponsored Ads worldwide rapid growth, you will support systems that manage all advertiser-facing functions including billing, invoicing, accounting automation, budgets, promotions, and payments in real-time. These systems demand millisecond-level SLAs and guarantee high availability to ensure advertisers' experiences are never impacted.

Key job responsibilities

Core Support Responsibilities:

Provide technical support for MADS Billing applications, ensuring high availability and performance of critical billing, budgeting, and payment systems

Conduct technical mitigations and deep dives on reported issues to identify root causes and implement corrective actions

Work directly with development teams and partner teams to improve the billing experience for our advertising customers globally

Monitor system health and proactively detect performance degradation by building efficient metrics, monitors, and alarms using in-house tools

Incident Management & Prevention:

Identify patterns in repeated incidents and conduct thorough Root Cause Analysis (RCA) to prevent recurrence

Drive operational excellence proactively by implementing preventive measures and process improvements based on incident trends

Collaborate with development and product teams to prioritize and resolve systemic issues affecting customer experience

Maintain comprehensive documentation of incidents, resolutions, and preventive actions

Innovation & Automation:

Implement Generative AI solutions and intelligent agents to enhance incident handling and customer support

Build automation tools to optimize billing systems, simplify operational processes, and reduce manual intervention

Develop self-healing mechanisms and automated remediation workflows for common incident scenarios

Leverage AI/ML technologies to predict and prevent potential system issues before they impact customers

Technical Excellence:

Work across platform stacks including SQL, Java, .NET, C#, Python, and AWS services

Troubleshoot and debug complex distributed systems handling hundreds of millions of API requests daily

Ensure design effectiveness and complement custom-developed applications across the technology stack

Participate in on-call rotations with focus on automating solutions for self-healing systems

Basic Qualifications

  • Knowledge of cloud platforms and cloud computing such as AWS, Azure, Google Cloud Platform, etc.
  • Basic Qualifications
  • 2+ years of software development, or 2+ years of technical support experience
  • Experience scripting in modern program languages
  • Experience troubleshooting and debugging technical systems

Preferred Qualifications

  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Preferred Qualifications
  • Knowledge of web services, distributed systems, and web application development
  • Experience troubleshooting & maintaining hardware & software RAID
  • Experience with REST web services, XML, JSON
  • Experience with AWS services and cloud-based architectures
  • Familiarity with AI/ML technologies and automation frameworks
  • Strong analytical and problem-solving skills with focus on root cause analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge